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Method and system for extracting spatial correlation features

An extraction method and feature extraction technology, applied in the field of data processing, can solve problems such as difficult to achieve accurate prediction, insufficient consideration of OD data demand spatial distribution and dependency characteristics, and achieve the effect of accurate data support

Active Publication Date: 2021-03-23
CRSC RESEARCH & DESIGN INSTITUTE GROUP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, most of these studies take urban road traffic flow as the research object, and the complex spatial distribution and dependence characteristics of OD data requirements are insufficiently considered, making it difficult to achieve accurate prediction

Method used

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  • Method and system for extracting spatial correlation features
  • Method and system for extracting spatial correlation features
  • Method and system for extracting spatial correlation features

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Embodiment Construction

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0047] As used herein, "comprising", "comprising", "having", "comprising" and so on are all open terms, meaning including but not limited to.

[0048] The term "plurality" herein includes "two" and "more than two".

[0049] Please refer to figure 1 , figure 1 It is a flowchart of the extraction method of the present inventi...

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Abstract

The invention belongs to the technical field of data processing, and discloses a method and system for extracting spatial correlation features. The method for extracting spatial correlation features includes: step S1: selecting spatial correlation data to obtain at least one period data set and trend data set; Step S2: Process at least one cycle of data sets based on the time sliding mechanism, and perform feature extraction and aggregation on the processed at least one cycle of data sets to obtain feature maps; Step S3: Build a residual convolution unit, according to the trend data set and features Graph to extract spatially correlated features. The invention realizes the accurate description of the complex spatial dependence, and provides more accurate data support for the future space-time prediction.

Description

technical field [0001] The invention belongs to the field of data processing, in particular to a method and system for extracting spatial correlation features. Background technique [0002] OD data refers to the size of social or economic interaction variables between the departure point (point o) and the destination (point d) within a certain period of time, also known as OD quantity data. This interactive relationship between spatial and geographical units within a certain period of time includes the scale of economic trade between regions, the frequency of social exchanges, or the volume of passenger and cargo transportation. The combination of all OD values ​​between the departure point (point o) and the destination point (d point) is called the OD matrix. The prediction of OD data is usually an important basis for the planning and decision-making of socio-economic activities between regions. Usually, the task of OD data prediction is to predict the OD data in the subs...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06N3/04G06N3/08G06Q50/26
CPCG06Q10/04G06Q50/26G06N3/08G06N3/044G06N3/045
Inventor 韦伟刘岭石晶刘军王莹
Owner CRSC RESEARCH & DESIGN INSTITUTE GROUP CO LTD